We describe a design for a collaborative Virtual Learning Environment (VLE) to support massively multi-user and multi-institutional learning communities. This architecture extends...
Multiple kernel learning (MKL) uses a weighted combination of kernels where the weight of each kernel is optimized during training. However, MKL assigns the same weight to a kerne...
Variational methods for approximate inference in machine learning often adapt a parametric probability distribution to optimize a given objective function. This view is especially ...
Antti Honkela, Matti Tornio, Tapani Raiko, Juha Ka...
The use of technology is growing in every field of education, and not only in the education of disabled students but also as a learning resource for everybody. The teachers are mo...
We propose a new dimensionality reduction method, the elastic embedding (EE), that optimises an intuitive, nonlinear objective function of the low-dimensional coordinates of the d...